Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fuzzy MARCOS× | Mērīšana un rangu noteikšana alternatīvām saskaņā ar kompromisa risinājumu× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2000 | 2020 |
| Autors≠ | Chen, C. T. | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. |
| Tips≠ | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) | Utility function (ideal + anti-ideal reference) |
| Pirmavots≠ | Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems DOI ↗ | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās≠ | 2 | 8 |
| Kopsavilkums≠ | FUZZY-MARCOS (Fuzzy MARCOS — Fuzzy extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, C. T. in 2000. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
|
|